Concurrent segmentation and recognition with shape-driven fast marching methods A Capar, M Gokmen 18th International Conference on Pattern Recognition (ICPR'06) 1, 155-158, 2006 | 62 | 2006 |
A whole-slide image grading benchmark and tissue classification for cervical cancer precursor lesions with inter-observer variability A Albayrak, AU Akhan, N Calik, A Capar, G Bilgin, BU Toreyin, ... Medical & Biological Engineering & Computing 59, 1545-1561, 2021 | 20 | 2021 |
Comparison of SVM and ANN performance for handwritten character classification F Kahraman, A Capar, A Ayvaci, H Demirel, M Gokmen Proceedings of the IEEE 12th Signal Processing and Communications …, 2004 | 19 | 2004 |
Metaphase finding with deep convolutional neural networks TBU Moazzen Y., Capar A., Albayrak A., Calik N Biomedical Signal Processingand Control 52, 353-361, 2019 | 16 | 2019 |
Segmentation of precursor lesions in cervical cancer using convolutional neural networks A Albayrak, A Ünlü, N Çalık, G Bilgin, İ Türkmen, A Çakır, A Çapar, ... 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 15 | 2017 |
Gradient-based shape descriptors A Çapar, B Kurt, M Gökmen Machine Vision and Applications 20, 365-378, 2009 | 15 | 2009 |
Automated scoring of CerbB2/HER2 receptors using histogram based analysis of immunohistochemistry breast cancer tissue images KA Kabakçı, A Çakır, İ Türkmen, BU Töreyin, A Çapar Biomedical Signal Processing and Control 69, 102924, 2021 | 13 | 2021 |
A Turkish handprint character recognition system A Çapar, K Taşdemir, Ö Kıłıc, M Gökmen Computer and Information Sciences-ISCIS 2003: 18th International Symposium …, 2003 | 12 | 2003 |
Myelin detection in fluorescence microscopy images using machine learning SÇ Yetiş, A Çapar, DA Ekinci, UE Ayten, BE Kerman, BU Töreyin Journal of Neuroscience Methods 346, 108946, 2020 | 10 | 2020 |
A deep learning based approach for classification of CerbB2 tumor cells in breast cancer GA Tataroğlu, A Genç, KA Kabakçı, A Çapar, BU Töreyin, HK Ekenel, ... 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 7 | 2017 |
Affine invariant gradient based shape descriptor A Çapar, B Kurt, M Gökmen Multimedia Content Representation, Classification and Security …, 2006 | 7 | 2006 |
Myelin segmentation in fluorescence microscopy images SÇ Yetiş, DA Ekinci, E Çakir, EM Ekşioğlu, UE Ayten, A Çapar, ... 2019 Medical Technologies Congress (TIPTEKNO), 1-4, 2019 | 6 | 2019 |
Çok Amaçlı Gürbüz Yüz Tanıma M Gökmen, B Kurt, F Kahraman, A Çapar İstanbul Teknik Üniversitesi Bilgisayar Mühendisliği Bölümü, Tübitak Projesi …, 2007 | 6 | 2007 |
DeepMQ: A deep learning approach based myelin quantification in microscopic fluorescence images S Çimen, A Çapar, DA Ekinci, UE Ayten, BE Kerman, BU Töreyin 2018 26th European Signal Processing Conference (EUSIPCO), 61-65, 2018 | 5 | 2018 |
Gradyan temelli şekil bölütleme ve tanıma A Çapar, M Gökmen İTÜDERGİSİ/d 10 (3), 2011 | 5 | 2011 |
İTÜ Araç Plaka Tanıma Sistemi, 11 A Çapar, MS Beratoğlu, K Taşdemir, Ö Kılıç, M Gökmen Sinyal İşleme ve İletişim Uygulamaları Kurultayı (SİU), 371-374, 2003 | 5 | 2003 |
Classification of cervical precursor lesions via local histogram and cell morphometric features N Calik, A Albayrak, A Akhan, I Turkmen, A Capar, BU Toreyin, G Bilgin, ... IEEE Journal of Biomedical and Health Informatics 27 (4), 1747-1757, 2022 | 3 | 2022 |
A multi-spectral myelin annotation tool for machine learning based myelin quantification A Çapar, S Çimen, Z Aladağ, DA Ekinci, UE Ayten, BE Kerman, ... F1000Research 9, 2020 | 3 | 2020 |
A sub-pixel resolution method for chromosome band profile extraction Y Moazzen, A Çapar, BU Töreyin 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 3 | 2017 |
A multi-level thresholding based segmentation method for microscopic fluorescence in situ hybridization (FISH) images KA Kabakçı, A Çapar, BU Töreyin, M Akkoç, O Borazan, İ Türkmen, LD Ata 2016 24th Signal Processing and Communication Application Conference (SIU …, 2016 | 3 | 2016 |